Lead Specialist, Engineering and Virtualization

1. Why This Role Matters The Lead Specialist, Engineering and Virtualization II enables the organization's Data & AI strategy by delivering resilient, scalable, and secure platform engineering and virtualization capabilities. The role creates the technical foundation required to support advanced analytics, artificial intelligence solutions, enterprise applications, and digital transformation initiatives. The role drives platform reliability, performance optimization, and technology standardization across the Data & AI ecosystem. By strengthening infrastructure capabilities and virtualization services, the role improves operational efficiency, accelerates service delivery, reduces technology risk, and enhances the organization's ability to scale emerging digital solutions. Through technical expertise and collaboration across technology functions, the role ensures that platform environments remain secure, available, and aligned with business growth requirements while supporting innovation and operational excellence. 2. What You Will Deliver Platform Engineering & Infrastructure Excellence Deliver secure, scalable, and high-performing virtualization and platform environments that support business-critical applications and Data & AI services. Optimize platform capacity, availability, and performance to ensure reliable service delivery across the organization. Strengthen infrastructure resilience through proactive lifecycle management and continuous platform enhancement. Data & AI Platform Enablement Enable Data & AI workloads through robust platform architecture, virtualization technologies, and infrastructure services. Accelerate deployment and integration of data platforms, analytics solutions, and AI capabilities. Ensure platform environments support evolving business and technology requirements. Operational Excellence Improve service stability through effective monitoring, automation, and performance optimization practices. Reduce infrastructure complexity and operational inefficiencies through standardization and process improvement. Enhance operational responsiveness through effective incident resolution and root cause management. Governance, Risk & Security Maintain compliance with enterprise technology, cybersecurity, and infrastructure standards. Strengthen platform security by implementing appropriate controls, vulnerability mitigation, and access governance practices. Minimize operational and technology risks through proactive assessment and corrective action. Innovation & Continuous Improvement Drive adoption of emerging virtualization, cloud, and platform engineering technologies that improve organizational capability. Identify opportunities to automate infrastructure management and improve service delivery efficiency. Promote technical best practices and continuous improvement across the technology landscape. Stakeholder Collaboration & Capability Building Build effective partnerships with technology teams, vendors, and business stakeholders to ensure platform effectiveness. Provide technical leadership and subject matter expertise on virtualization and platform engineering initiatives. Develop organizational capability through knowledge sharing and technical guidance. 3. What Success Looks Like High platform availability and service reliability across Data & AI environments. Improved infrastructure utilization, scalability, and operational efficiency. Reduced service disruptions through proactive monitoring, automation, and risk management. Strong compliance with cybersecurity, technology governance, and operational standards. Successful delivery of platform enhancements that enable data, analytics, and AI initiatives. Increased stakeholder confidence and satisfaction with platform performance and service quality. 6. Skills That Matter Functional Expertise Platform Engineering Virtualization Technologies Cloud Infrastructure & Services Infrastructure Architecture Systems Integration Performance Monitoring & Optimization Business & Delivery Service Delivery Management Project Execution Technology Governance Risk & Compliance Management Vendor Management 4. Minimum Qualifications Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related discipline. 5. Experience 8-12 years of relevant experience in platform engineering, virtualization, cloud infrastructure, or enterprise technology environments. Experience supporting large-scale enterprise infrastructure and mission-critical business applications. Experience in Data & AI platform environments, analytics infrastructure, or digital transformation programs. Experience leading complex technical initiatives and cross-functional technology engagements.